Data Engineer, GTM
About this role
Professionals who thrive in ambiguity and enjoy building foundational data infrastructure from the ground up will find a natural home in this role. Working on the Data Science and Analytics team at Anthropic, the incoming engineer establishes the core data foundation for the quote-to-cash lifecycle, connecting opportunity data to revenue pipelines. Collaboration is central to the position, as the engineer partners directly with go-to-market and finance systems teams to ensure billing, CPQ, and Salesforce data remain reliable and well-modeled.
The team builds reliable, interpretable AI systems while expanding business operations to match company growth. Daily work involves designing canonical data models, building multi-step ETL pipelines, and creating self-serve analytics tools for internal stakeholders across Sales, Deal Desk, and Finance. This position exists to unify disparate operational systems into a single governed source of truth, enabling cross-functional teams to scale effectively while supporting broader company safety and research goals.
What you will do
- Translate the data requirements of Sales systems, Finance, Revenue Operations, Order Management, and Deal Desk into actionable technical designs.
- Design and build canonical data models that transform raw billing, CPQ, and Salesforce information into structured datasets.
- Set data integrity standards and SLAs to guarantee accurate and timely delivery across reporting layers.
- Collaborate with billing, CPQ, and Salesforce engineers on upstream schema alterations, ingestion pipelines, and field definitions.
- Develop foundational data products, visualization dashboards, and tooling to support self-serve analytics for go-to-market teams.
- Shape stakeholder roadmaps from a technical data perspective while maintaining expertise in organizational architecture.
What you need
- Bring 5 or more years of professional experience working as a Data Engineer, Analytics Engineer, or similar role alongside finance or go-to-market teams.
- Demonstrate hands-on experience modeling Salesforce data along with at least one quote-to-cash system such as billing, CPQ, ERP, or contract management.
- Possess expertise in building multi-step ETL workflows and robust data models using dbt.
- Show proficiency with SQL, Python, workflow management tools like Airflow, and version control through GitHub.
- Hold a Bachelor's degree or an equivalent combination of education, training, and professional experience in a relevant field.
- Demonstrate experience building analytics data engineering functions within startup environments.
Benefits
- Competitive compensation
- Optional equity donation matching
- Generous vacation
- Generous parental leave
- Flexible working hours
Skills and tech stack
Questions candidates ask
What is the remote work or office policy for this role?
Anthropic operates under a location-based hybrid policy. Staff are currently expected to be in one of the offices in San Francisco or New York City at least 25% of the time, though certain roles may require additional in-office presence.
What is the salary range for the Data Engineer, GTM position?
The annual base salary range for this role is $320,000 to $405,000 USD. Total compensation also includes competitive benefits and optional equity donation matching.
What tools and technologies will I use daily?
The tech stack includes Salesforce, CPQ, dbt, Airflow, GitHub, SQL, Python, and Hex for dashboarding and visualization. Engineers also interact with various billing and ERP systems.
Does Anthropic offer visa sponsorship for applicants?
Yes, visa sponsorship is available for candidates. The company retains an immigration lawyer and makes every reasonable effort to secure visas for successful job offers.